Data engineer (f/m/x)

Sobre a vaga

As a Data Engineer within DOH, you will play a key role in building and maintaining the data foundations that power analytics, reporting, and data-driven decision-making across Mercedes-Benz. You would be part of the Data Operations Hub driving the transformation towards a unified data ecosystem.

O que vais fazer

• Design and build scalable data pipelines for cleaning, integrating, and transforming large datasets
• Create data processing infrastructure that ensures high-quality data availability for digital analysts and data scientists
• Leverage Azure cloud services including Data Factory, Databricks, and Data Lake Storage to develop robust and scalable data solutions
• Develop dimensional data models and maintain data warehousing solutions that support analytics and reporting needs
• Write efficient and well-tested Python and SQL code for large-scale data processing
• Work extensively with Apache Spark developing and optimizing PySpark code and SQL queries while applying a deep understanding of Spark internals
• Collaborate closely with data analysts and stakeholders to understand business requirements and support data-driven decision-making
• Ensure data governance standards are met by monitoring data quality and implementing best practices for data management
• Support the deployment, monitoring, and maintenance of machine learning pipelines and data solutions in production environments
• Continuously improve platform performance, scalability, and reliability through automation and engineering best practices

O que é pedido

• 3 to 5 years of hands-on software engineering experience building, maintaining, and optimizing data pipelines
• Strong experience applying software engineering best practices, including object-oriented programming (OOP), test-driven development (TDD), CI/CD and version control
• Proficiency in PySpark and SQL including query optimization and a solid understanding of Spark internals
• Strong Python programming skills for data processing, automation, and scalable data engineering solutions
• Proven expertise with Azure cloud technologies, including Databricks, Data Factory, Azure DevOps, and Data Lake Storage
• Solid experience in dimensional data modelling and data warehousing principles
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex data challenges
• Excellent communication skills and the ability to work effectively with technical and non-technical stakeholders
• A collaborative mindset and the ability to thrive in a fast-paced, team-oriented environment

Valorizado

• Experience with Kubernetes and Docker for containerized applications
• Experience working with Google Analytics data
• Knowledge of machine learning deployment and monitoring practices
• Experience working in large-scale cloud-based data platforms and modern analytics environments

O que é oferecido

• Flexible hybrid work model
• Open source software
• No top‑down hierarchy
• Colleagues who are smart, driven, and collaborative
• An open‑minded and informal culture backed by a global brand
• Health insurance and life insurance
• Proactive self‑development through international trainings and conferences
• Much more cool stuff

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

Benefícios e vantagens (8)

• Apoio ao home-office
• Comida, fruta e bebida
• Flexibilidade de horário
• Mais de 22 dias de férias
• Paga o passe
• Plafond certificações e conferências
• Seguro de saúde
• Suporte psicológico

Valores e cultura (9)

• Aberto a open source
• Ambiente internacional
• Amigos fora do trabalho
• Códigos de alta qualidade
• Escolha do trabalhador
• Feedback contínuo e 360º
• Igualdade de género
• Membros impressionantes na equipa
• Metodologias agéis